多智能体 RL论文趋势 2023–2026
博弈与 MARL
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,126 篇被归入该主题的论文。
主要结论
- 多智能体 RL论文从 2023 年的 311 篇增长到 2026 年的 868 篇，三年间扩大到约 2.8 倍。
- NeurIPS 是发多智能体 RL论文最多的会议，2023–2026 年共 809 篇，占四个会议总量的 38%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 9 篇增至 2026 年的 70 篇。
- 在「博弈与规划」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的经典规划是 3.3 倍，多智能体 RL是 2.8 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 88 | 37 | 80 | 106 | 311 |
| 2024 | 147 | 39 | 82 | 105 | 373 |
| 2025 | 255 | 91 | 115 | 113 | 574 |
| 2026 | 319 | 153 | 224 | 172 | 868 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 20262-Step Agent: How a Bayesian Decision Maker Learns from AI-Decision Support
- ICML 2026A Causal Decomposition Approach for Fair Contextual Multi-Armed Bandits
- ICLR 2026Calibrated Information Bottleneck for Trusted Multi-modal Clustering
- CVPR 2026A Sanity Check for Multi-In-Domain Face Forgery Detection in the
- NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
- ICML 2025A Classification View on Meta Learning Bandits
- ICLR 2025BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
- CVPR 2025All-Day Multi-Camera Multi-Target Tracking
- NeurIPS 2024A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
- ICML 2024A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
- ICLR 2024An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
- CVPR 2024DeconfuseTrack: Dealing with Confusion for Multi-Object Tracking
- NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
- ICML 2023A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
- ICLR 2023An Additive Instance-Wise Approach to Multi-class Model Interpretation
- CVPR 2023A Light Touch Approach to Teaching Transformers Multi-View Geometry
- NeurIPS 2026A Black-Box Reduction from Regret to Multi-Level Coverage
- ICML 2026A Consensus Anchor-guided Hypergraph Framework for Incomplete Multi-view Clustering
- ICLR 2026Confident Block Diagonal Structure-Aware Invariable Graph Completion for Incomplete Multi-view Clustering
- CVPR 2026Anti-Degradation Lifelong Multi-View Clustering
全部多智能体 RL论文
共 2,126 篇，第 7 / 43 页
- ICLR 2026Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations
- ICLR 2026STARK: Strategic Team of Agents for Refining Kernels
- ICLR 2026Stochastic Self-Organization in Multi-Agent Systems
- ICLR 2026Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems
- ICLR 2026Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
- ICLR 2026T-TAMER: Provably Taming Trade-offs in ML Serving
- ICLR 2026TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
- ICLR 2026Toward Enhancing Representation Learning in Federated Multi-Task Settings
- ICLR 2026Towards Reliable Benchmarking: A Contamination Free, Controllable Evaluation Framework for Multi-step LLM Function Calling
- ICLR 2026Towards Self-Evolving Agent Benchmarks : Validatable Agent Trajectory via Test-Time Exploration
- ICLR 2026Towards Sustainable Investment Policies Informed by Opponent Shaping
- ICLR 2026Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading
- ICLR 2026TRIM: Hybrid Inference via Targeted Stepwise Routing in Multi-Step Reasoning Tasks
- ICLR 2026Trinity: An Evolved LLM Coordinator
- ICLR 2026TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
- ICLR 2026Uncover Underlying Correspondence for Robust Multi-view Clustering
- ICLR 2026Unified and Efficient Multi-view Clustering from Probabilistic Perspective
- ICLR 2026UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking
- ICLR 2026Unlocking the Power of Co-Occurrence in CLIP: A DualPrompt-Driven Method for Training-Free Zero-Shot Multi-Label Classification
- ICLR 2026Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
- ICLR 2026Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow
- ICLR 2026WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
- ICLR 2026When Agents “Misremember” Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent Systems
- ICLR 2026When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework
- ICLR 2026Why Keep Your Doubts to Yourself? Trading Visual Uncertainties in Multi-Agent Bandit Systems
- ICML 2026(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games
- ICML 2026$\texttt{Multi}^2$: Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive Environments
- ICML 2026$R^3$DAO: Reactive Recovery and Reconstruction for Long-horizon Data Agent Orchestration
- ICML 2026A Capacity-Based Rationale for Multi-Head Attention
- ICML 2026A Causal Decomposition Approach for Fair Contextual Multi-Armed Bandits
- ICML 2026A Consensus Anchor-guided Hypergraph Framework for Incomplete Multi-view Clustering
- ICML 2026A Diagnostic Study of Multi-Agent LLMs for Real-World Debates
- ICML 2026A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models
- ICML 2026A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning
- ICML 2026Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization
- ICML 2026AdaHC: Accelerating Multi-Token Prediction with Adaptive Head Chunking with Pipeline Parallelism
- ICML 2026Adaptive Multi-Round Allocation with Stochastic Arrivals
- ICML 2026Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
- ICML 2026AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning
- ICML 2026Agent Primitives: Reuseable Latent Building Blocks for Multi-Agent Systems
- ICML 2026AgentSteerTTS: A Multi-Agent Closed-Loop Framework for Composite-Instruction Text-to-Speech
- ICML 2026AgentTailor: A Semantic-Aware LLM-Based Multi-Agent System with Actor-Critic Structure
- ICML 2026AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Web
- ICML 2026AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction
- ICML 2026Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents
- ICML 2026AMDP: Asynchronous Multi-Directional Pipeline Parallelism for Large-Scale Models Training
- ICML 2026Anytime Detection of Strategic Deviations in Multi-Agent Systems
- ICML 2026AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
- ICML 2026Architecture Matters for Multi-Agent Security
- ICML 2026ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查多智能体 RL在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "multi-agent-rl"}
常见问题
- 2023–2026 年四大会议一共有多少篇多智能体 RL论文？
- 共 2,126 篇，按年份分别是 2023 年 311 篇、2024 年 373 篇、2025 年 574 篇、2026 年 868 篇。
- NeurIPS 2026 有多少篇多智能体 RL论文？
- NeurIPS 2026 有 319 篇多智能体 RL论文，上一届是 255 篇。
- ICLR 2026 有多少篇多智能体 RL论文？
- ICLR 2026 有 153 篇多智能体 RL论文，上一届是 91 篇。
- ICML 2026 有多少篇多智能体 RL论文？
- ICML 2026 有 224 篇多智能体 RL论文，上一届是 115 篇。
- CVPR 2026 有多少篇多智能体 RL论文？
- CVPR 2026 有 172 篇多智能体 RL论文，上一届是 113 篇。
- 哪个会议的多智能体 RL论文最多？
- NeurIPS，2023–2026 年共 809 篇。